Factual package intelligence from PyPI

protenix 2.0.0 package intelligence

A trainable PyTorch reproduction of AlphaFold 3.

pip install protenix

Current version
2.0.0
Python requirement
>=3.11
License
Apache 2.0 License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
929.6 KiB
Release history
50 releases with files
Median release cadence
5 days

protenix dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch ==2.7.1
  2. torchvision ==0.22.1
  3. torchaudio ==2.7.1
  4. cuequivariance-ops-torch-cu12 ==0.8.0
  5. cuequivariance-torch ==0.8.0
  6. scipy >=1.9.0
  7. ml_collections ==1.1.0
  8. tqdm ==4.67.1
  9. pandas ==2.3.1
  10. PyYAML ==6.0.2
  11. matplotlib ==3.10.5
  12. ipywidgets ==8.1.7
  13. py3Dmol ==2.5.2
  14. rdkit ==2025.9.3
  15. biopython ==1.85
  16. biotite ==1.4.0
  17. modelcif ==1.4
  18. gemmi ==0.6.7
  19. pdbeccdutils ==1.0.0
  20. fair-esm ==2.0.0
  21. scikit-learn ==1.7.1
  22. scikit-learn-extra ==0.3.0
  23. deepspeed ==0.17.5
  24. pydantic >=2.0.0
  25. triton ==3.3.1

The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

protenix publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 50 releases with files. The first dated release is ; 27 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .